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User seeks help deploying BiRefNet on mobile hardware

By PulseAugur Editorial · [1 sources] ·

A user on the r/MachineLearning subreddit is seeking assistance with deploying the BiRefNet model on mobile hardware, specifically Qualcomm NPUs and GPUs. The user is encountering difficulties due to the complexity of BiRefNet's deformable convolutions and aims to achieve sub-second latency for a project. They are requesting help from others who may have experience with this specific deployment challenge. AI

RANK_REASON This is a user-generated question on a forum, not a formal announcement or release of new technology.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

User seeks help deploying BiRefNet on mobile hardware

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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/subhashg547 ·

    Has anyone gotten BiRefNet to work on mobile NPUs and GPUs? especially Qualcomm [D]

    <!-- SC_OFF --><div class="md"><p>I've been trying to get BiRefNet to work on Qualcomm's mobile GPUs and NPUs. But i guess it's deformable convolutions are pretty complex for those chips. I want a sub second latency performance on these chips for a project I'm doing</p> <p>Has an…

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